VoxelForge/Standalone/Research/WorldAssemblerM3/Linux80/RunL80HeadlessMovingCamera.py

#!/usr/bin/env python3
"""Run the L77/L79/L80 headless moving-camera and dwell protocol."""
from __future__ import annotations
import csv
import json
import re
import subprocess
import time
from pathlib import Path

ROOT = Path(__file__).resolve().parents[4]
OUT = ROOT / "Saved/Linux/l80/movement/headless"
DATA = ROOT / "Standalone/data/owner_world.json"
BINARY = ROOT / "Saved/Linux/l80/bin/VoxelForgeCoreHeadless-l80-clean-clang"
CAMERA = (19.166015625, -14.2001953125, -753.3740234375)
POLICIES = {0: "L77", 2: "L79", 3: "L80"}
SPEEDS = {"walk": 1.4, "fast": 30.0}
SAMPLE = re.compile(r"^\[L79MovingSample\] (.*)$", re.M)
SUMMARY = re.compile(r"^\[L79MovingSummary\] (.*)$", re.M)
FIELDS = re.compile(r"([a-zA-Z0-9_]+)=([^ ]+)")


def run(policy: int, speed_name: str) -> tuple[dict, list[dict]]:
    label = f"{speed_name}-{POLICIES[policy]}"
    log = OUT / f"{label}.log"
    OUT.mkdir(parents=True, exist_ok=True)
    camera = ",".join(f"{v:.12f}" for v in CAMERA) + ",0,0"
    command = [
        "taskset", "-c", "0-11", "prlimit", "--as=6442450944", "--",
        "timeout", "1740s", str(BINARY), str(DATA), "--world-assembler-prototype",
        "--stream-benchmark", "--stream-pipeline", "--workers=8", "--clip-radius=3",
        "--max-clip-level=8", "--max-level=8", f"--camera={camera}",
        "--profile-lod-work", f"--stream-scheduler-policy={policy}",
        f"--moving-camera-speed-mps={SPEEDS[speed_name]:.1f}",
        "--moving-camera-duration-s=12", "--moving-camera-dwell-s=5",
    ]
    start = time.monotonic()
    with log.open("w", encoding="utf-8") as output:
        result = subprocess.run(command, cwd=ROOT, stdout=output,
                                stderr=subprocess.STDOUT, check=False, timeout=1740)
    content = log.read_text(encoding="utf-8", errors="replace")
    samples = [dict(FIELDS.findall(match.group(1))) for match in SAMPLE.finditer(content)]
    summary_match = SUMMARY.search(content)
    engine = dict(FIELDS.findall(summary_match.group(1))) if summary_match else {}
    if result.returncode or not samples or not engine:
        raise SystemExit(f"moving-camera run failed or trace missing: {log}; exit={result.returncode}")
    for row in samples:
        for name in ("policy", "speed_mps", "t_s", "near_ready_pct", "far_missing_pct",
                     "far_hole_pct", "far_stale_max_s", "generation_failures"):
            row[name] = float(row[name])
        row["label"] = label
    if int(float(engine.get("generation_failures", "-1"))) != 0:
        raise SystemExit(f"tile generation failure: {log}")
    run_info = {
        "label": label, "policy": POLICIES[policy], "policy_id": policy,
        "speed": speed_name, "speed_mps": SPEEDS[speed_name],
        "exit_code": result.returncode, "wall_s": round(time.monotonic() - start, 3),
        "samples": len(samples), "engine_summary": engine,
        "log": str(log.relative_to(ROOT)),
    }
    print("[L80HeadlessMoveRun] " + json.dumps(run_info, sort_keys=True), flush=True)
    return run_info, samples


def main() -> int:
    if not DATA.is_file() or not BINARY.is_file():
        raise SystemExit(f"missing input: {DATA} or {BINARY}")
    runs, all_samples = [], []
    schedule = [(policy, speed) for speed in ("walk", "fast")
                for policy in (0, 2, 3)]
    for policy, speed in schedule:
        row, samples = run(policy, speed)
        runs.append(row)
        all_samples.extend(samples)
        (OUT / "runs-partial.json").write_text(
            json.dumps(runs, indent=2) + "\n", encoding="utf-8")
    summary = []
    for speed_name, speed in SPEEDS.items():
        for policy in POLICIES.values():
            rows = [row for row in all_samples
                    if row["speed_mps"] == speed and int(row["policy"]) ==
                    next(pid for pid, name in POLICIES.items() if name == policy)]
            moving = [row for row in rows if row.get("phase") == "move"]
            dwell = [row for row in rows if row.get("phase") == "dwell"]
            summary.append({
                "speed": speed_name, "speed_mps": speed, "policy": policy,
                "moving_samples": len(moving), "dwell_samples": len(dwell),
                "far_holes_moving_mean_pct": round(sum(r["far_hole_pct"] for r in moving)
                                                     / max(1, len(moving)), 3),
                "far_holes_moving_max_pct": max((r["far_hole_pct"] for r in moving), default=None),
                "near_ready_moving_mean_pct": round(sum(r["near_ready_pct"] for r in moving)
                                                     / max(1, len(moving)), 3),
                "near_ready_moving_min_pct": min((r["near_ready_pct"] for r in moving), default=None),
                "far_holes_dwell_last_pct": dwell[-1]["far_hole_pct"] if dwell else None,
                "near_ready_dwell_last_pct": dwell[-1]["near_ready_pct"] if dwell else None,
                "first_all_far_ready_s": next(
                    (r["engine_summary"].get("first_all_far_ready_s") for r in runs
                     if r["speed"] == speed_name and r["policy"] == policy), None),
                "generation_failures": next(
                    (r["engine_summary"].get("generation_failures") for r in runs
                     if r["speed"] == speed_name and r["policy"] == policy), None),
            })
    (OUT / "summary.json").write_text(
        json.dumps({"runs": runs, "summary": summary}, indent=2) + "\n",
        encoding="utf-8")
    sample_path = OUT / "samples.csv"
    if all_samples:
        with sample_path.open("w", newline="", encoding="utf-8") as stream:
            writer = csv.DictWriter(stream, fieldnames=list(all_samples[0]))
            writer.writeheader()
            writer.writerows(all_samples)
    return 0

if __name__ == "__main__":
    raise SystemExit(main())